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Journal of Neurosurgical Sciences 2023 December;67(6):694-701

DOI: 10.23736/S0390-5616.21.05448-5


language: English

Quantitative gait analysis of patients with severe sacroiliac joint dysfunction: a prospective clinical study

Jan LODIN 1, 2 , Marek JELÍNEK 3, Jan PROCHÁZKA 4, Martin SAMEŠ 1, Petr VACHATA 1, 2

1 Department of Neurosurgery, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic; 2 Faculty of Medicine in Plzeň, Charles University, Plzeň, Czech Republic; 3 University of Jan Evangelista Purkynje, Ústí nad Labem, Czech Republic; 4 Department of Anesthesiology, Perioperative Medicine and Intensive Care, Chronic Pain Therapy Center, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic

BACKGROUND: Sacroiliac joint (SIJ) dysfunction is a chronic painful condition responsible for up to 30% of back pain. Treatment modalities include physiotherapy, intraarticular analgesic injections, ablation techniques or SIJ fusion. The severity of SIJ dysfunction is commonly assessed via subjective pain or disability scales. Quantitative gait analysis offers an objective means of evaluating patients with SIJ dysfunction prior to its surgical treatment.
METHODS: Ten patients diagnosed with severe SIJ dysfunction were matched with 10 healthy controls. All individuals underwent quantitative 3D gait analysis using the Qualisys program and statistical analysis was performed to identify significant differences in gait parameters between the two groups.
RESULTS: Two groups of data were obtained; angular parameters described by the Gait Profile Score (GPS) and spatiotemporal parameters described in standard SI units. Statistically significant differences were found between the patient and control group for parameters: overall GPS (P=0.049), hip abduction/adduction (P=0.017) and ankle plantar/dorsal flexion (P=0.003), stride length (P=0.002), step length (P=0.001), swing time (P=0.03) and initial double limb support (P=0.02).
CONCLUSIONS: This paper is the first to perform complex quantitative gait analysis of patients with SIJ dysfunction and to compare it with healthy individuals. These results can provide clinicians with baseline gait values for these patients to objectively quantify the extent of their disease.

KEY WORDS: Joint diseases; Gait; Gait analysis

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